volume | PIER Journals

Abstract

Synthetic aperture interferometric radiometer (SAIR) requires lots of antennas, receivers, and correlators to accurately reconstruct the brightness temperature (BT) distribution of the scene. Aiming to reduce the complexity of the hardware requirements in SAIR system while maintaining the image quality, a new optimal sparse reconstruction method is developed in this paper. Different from the existing imaging methods, the proposed method constructs the optimal receiving array with a few elements by evaluating the mutual coherence and the array factor of the sensing matrix in SAIR system, so as to achieve high-quality reconstruction of the BT image. Numerical simulations and experiments demonstrate that the proposed method can reconstruct the BT image by solely using a few receivers with higher image fidelity than the competing methods.

1. Camps, A., J. Bara, I. C. Sanahuja, and F. Torres, "The processing of hexagonally sampled signals with standard rectangular techniques: Application to 2-D large aperture synthesis interferometric radiometers," IEEE Trans. Geoscience and Remote Sensing, Vol. 35, No. 1, 183-190, 1997.
doi:10.1109/36.551946

2. McMullan, K. D., M. A. Brown, M. Martin-Neira, W. Rits, S. Ekholm, J. Matri, and J. Lemanczyk, "SMOS: The payload," IEEE Trans. Geoscience and Remote Sensing, Vol. 46, No. 3, 594-605, 2008.
doi:10.1109/TGRS.2007.914809

3. Gaier, T., P. Kangaslahti, B. Lambrigtsen, I. Ramos-Perez, A. Tanner, D. McKague, C. Ruf, M. Flynn, Z. Zhang, R. Backhus, and D. Austerberry, "A 180 GHz prototype for a geostationary microwave imager/sounder-GeoSTAR-III," 2016 IEEE International Geoscience and Remote Sensing Symposium, 2021-2023, 2016.
doi:10.1109/IGARSS.2016.7729521

4. Kpré, E. L. and C. Decroze, "Passive coding technique applied to synthetic aperture interferometric radiometer," IEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 8, 1193-1197, 2017.
doi:10.1109/LGRS.2017.2700953

5. Kpré, E. L. and C. Decroze, "Synthetic aperture interferometric imaging using a passive microwave coding device," 2016 IEEE Conference on Antenna Measurements Applications (CAMA), Oct. 23-27, 2016.

6. Kpré, E. L. and C. Decroze, "Passively coded synthetic aperture interferometric radiometer (CSAIR): Theory and measurement results," European Conference on Antennas and Propagation, Mar. 23-27, 2017.

7. Wikner, D. A., A. R. Luukanen, V. Chauhan, K. Greene, and B. Floyd, "Code-modulated interferometric imaging system using phased arrays," Proc. SPIE, Vol. 9830, 98300D.1-98300D.8, 2016.

8. Zhang, C., H. Liu, L. Niu, and J. Wu, "System design and preliminary tests of an L-band clock scan microwave interferometric radiometer," 2017 International Geoscience and Remote Sensing Symposium, 715-718, 2017.
doi:10.1109/IGARSS.2017.8127052

9. Zhang, C., H. Liu, L. Niu, and J. Wu, "CSMIR: An L-band clock scan microwave interferometric radiometer," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-9, 2018.
doi:10.1109/JSTARS.2018.2837222

10. Li, S., X. Zhou, B. Ren, H.-J. Sun, and X. Lv, "A compressive sensing approach for synthetic aperture imaging radiometers," Progress In Electromagnetics Research, Vol. 135, 583-599, 2013.
doi:10.2528/PIER12110603

11. Wang, J., Z. Gao, J. Gu, S. Li, X. Zhang, Z. Dong, Z. Zhao, F. Jiang, B. Qi, and P. Xian, "A new passive imaging technique based on compressed sensing for synthetic aperture interferometric radiometer," IEEE Geoscience and Remote Sensing Letters, Vol. 17, No. 11, 1938-1942, 2020.
doi:10.1109/LGRS.2019.2958033

12. Zhang, Y., "A robust reweighted L1-minimization imaging algorithm for passive millimeter wave SAIR in near field," Sensors, Vol. 15, No. 10, 24945-24960, 2015.
doi:10.3390/s151024945

13. Chen, J., Y. Li, J. Wang, and Y. Li, "A compressive sensing imaging algorithm for millimeter-wave synthetic aperture imaging radiometer in near-field," 2013 Asia-Pacific Microwave Conference Proceedings, 972-974, 2013.
doi:10.1109/APMC.2013.6694993

14. Corbella, I., N. Duffo, M. Vall-llossera, et al. "The visibility function in interferometric aperture synthesis radiometry," IEEE Trans. Geoscience and Remote Sensing, Vol. 42, No. 8, 1677-1682, Aug. 2004.
doi:10.1109/TGRS.2004.830641

15. Figueiredo, A. T., R. D. Nowak, and S. J. Wright, "Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems," IEEE Journal of Selected Topics in Signal Processing, Vol. 1, No. 4, 586-597, 2007.
doi:10.1109/JSTSP.2007.910281

16. Candès, E. J. and M. Wakin, "An introduction to compressive sampling," IEEE Signal Processing Magazine, Vol. 25, No. 2, 21-30, Mar. 2008.
doi:10.1109/MSP.2007.914731

17. Romberg, J., "Imaging via compressive sampling," IEEE Signal Processing Magazine, Vol. 25, No. 2, 14-20, 2008.
doi:10.1109/MSP.2007.914729

18. Tropp, J. and A. Gilbert, "Signal recovery from random measurements via orthogonal matching pursuit," IEEE Trans. Information Theory, Vol. 53, No. 12, 4655-4666, Dec. 2007.
doi:10.1109/TIT.2007.909108

19. Obermeier, R. and J. A. Martinez-Lorenzo, "Sensing matrix design via mutual coherence minimization for electromagnetic compressive imaging applications," IEEE Trans. on Computational Imaging, Vol. 3, No. 2, 217-229, 2017.
doi:10.1109/TCI.2017.2671398

20. Wu, J., C. Zhang, H. Liu, and J. Yan, "Performance analysis of circular antenna array for microwave interferometric radiometers," IEEE Trans. Geoscience and Remote Sensing, Vol. 55, No. 6, 3261-3271, 2017.
doi:10.1109/TGRS.2017.2667042

Dr. Zilong Zhao

Dr. Zhongjian Fu

Dr. Jinguo Wang

Dr. Zhaozhao Gao

Dr. Jie Gu

Dr. Shiwen Li

Dr. Bo Qi

Dr. Fan Jiang